Resource Watcher
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An incident response if delayed can impact businesses, revenue, and waste valuable engineering time. Devtron's Resource Watcher enables you to perform automated actions upon the occurrence of events:
Create Event - Occurs when a new Kubernetes resource is created, for e.g., a new pod spun up to handle increased traffic.
Update Event - Occurs when an existing Kubernetes resource is modified, for e.g., deployment configuration tweaked to increase the replica count.
Delete Event - Occurs when an existing Kubernetes resource is deleted, for e.g., deletion of an orphaned pod.
You can make the Resource Watcher listen to the above events and accordingly run a webhook or run a job you wish to get done, for e.g., increasing memory, executing a script, raising Jira ticket, emailing your stakeholders, sending Slack notifications, and many more. Since manual intervention is absent, the timely response of this auto-remediation system improves your operational efficiency.
This page allows you to create a watcher to track events and run a job. It also shows the existing list of watchers (if any).
Click + Create Watcher.
Creating a watcher consists of 4 parts, fill all the sections one by one:
Here, you can give a name and description to your watcher.
Here, you can select the namespaces whose Kubernetes resource you wish to monitor for changes.
You can watch the namespace(s) across All Clusters (existing and future).
Or you can watch namespace(s) of Specific Clusters.
Here, you can select the exact Kubernetes resource(s) you wish to track for changes (in the namespace(s) you selected in the previous step).
You can choose the resource from the Resource kind(s) to watch dropdown. Enter the Group/Version/Kind (GVK) if it's a custom resource definition (CRD), for e.g., install.istio.io/v1apha1/IstioOperator
Choose the event type your watcher should listen to: Created, Updated, Deleted.
Created
Triggers the watcher when your Kubernetes resource is created
Updated
Triggers the watcher when your existing Kubernetes resource is modified
Deleted
Triggers the watcher when your existing Kubernetes resource is deleted
Enter a CEL expression to catch a specific change in the resource's manifest.
Example: DEVTRON_FINAL_MANIFEST.status.currentReplicas == DEVTRON_FINAL_MANIFEST.spec.maxReplicas
The Trigger Devtron Job option allows you to choose a Devtron job pipeline that triggers a job (e.g., executing a script, emailing your stakeholders, etc.) whenever the watcher intercepts any changes.
Follow the below steps to trigger Devtron job:
Select the Trigger Devtron Job option.
Choose your preferred Devtron job pipeline from the Run Devtron Job pipeline drop-down box. The pipelines configured while creating a job are displayed as options in the Run Devtron Job pipeline drop-down box. Unless a job pipeline is selected, the watcher will not intercept matching resource changes, even if defined conditions are met.
Select your preferred environment for the job to run in the Execute job in environment drop-down box.
Enter the runtime parameters (Key, Type, Value) in the Runtime Parameters section.
When a job is executed, its container can access the initial and final resource manifest through the following special environment variables:
To access the initial resource manifest use: DEVTRON_INITIAL_MANIFEST
To access the final resource manifest use: DEVTRON_FINAL_MANIFEST
Click Create Watcher.
The watcher is now ready to intercept changes to selected resources and execute the configured job.
The Trigger Webhook option allows you to configure a Webhook URL along with the payload (data) to be sent whenever the webhook is triggered. For example, to receive notifications in Slack, you can provide the Slack webhook URL and define the payload accordingly.
Follow the below steps to trigger webhook:
Select the Trigger Webhook option.
Enter your complete webhook URL, including https://, in the Webhook URL field. Your configured payload will be delivered through this webhook.
Enter the relevant header key-value pairs that are necessary for authentication or to include additional metadata for the receiving endpoint in the Header Key and Value fields accordingly.
Configure the payload in the Payload (Data to be shared through Webhook) field.
The payload is the actual content delivered to the webhook endpoint when the webhook is triggered. It contains the relavant information about changes in intercepted resources. The payload data must be entered in valid JSON format. Other formats such as YAML, or plain text are not supported. You can also customize the payload to include any resource-specific values that are useful for your integration. You can pass the properties of resource manifest in the webhook payload using the following keys:
To access the initial resource manifest use: DEVTRON_INITIAL_MANIFEST
To access the final resource manifest use: DEVTRON_FINAL_MANIFEST
The above keys return values as stringified JSON.
Click Create Watcher.
The watcher is now ready to intercept changes to selected resources and trigger the webhook.
This page allows you to view the changes to Kubernetes resources that you have selected for tracking changes.
It comes with the following items to help you locate the resource, where the event has been intercepted:
Searchbox
Cluster filter
Namespace filter
Action filter (event type, i.e., Created, Updated, Deleted)
Watcher filter (to check the intercepted changes of a specific watcher)
You get the following details in the results shown on the page.
Describes the type of change to the Kubernetes resource along with a link to its manifest
Shows the cluster and namespace where the tracked Kubernetes resource belongs to
Intercepted By
Shows the name of the watcher that intercepted the change
Intercepted At
Shows the date and time when the event occurred
Shows the status of the execution of job, e.g., In Progress, Succeeded, Failed
Links to the job log, i.e, the Run history page of the job
You can check the changes in manifest by clicking View Manifest in Change In Resource column.
You can check the logs of the job executed when the Resource Watcher intercepts any change by clicking logs.
A live streaming sports application experiences a surge in viewers during a major game. The Horizontal Pod Autoscaler (HPA) might not be able to handle the unexpected traffic if it's capped at a low max replica count.
Create a watcher named 'Live Stream Scaling Alert'.
Monitor updates to HPA resource in the application's namespace.
When currentReplicas count reaches maxReplicas, trigger a job that contains the script to increase the replica count.
A stock trading application constantly updates stock prices for its traders. If the pods become unhealthy, traders might see incorrect stock prices leading to bad investments.
Create a watcher named 'Pod Health Monitor'.
Track the pod workload of your application, if DEVTRON_FINAL_MANIFEST.status.phase != 'Running', trigger a job that sends an Email/Slack alert with pod details.
